CONOPT for Python

CONOPT is a Nonlinear Programming Solver. Learn more about CONOPT at https://conopt.gams.com.

This package includes CONOPT libraries and the Python interface for CONOPT.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for GAMS_Development from gravatar.com GAMS_Development

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: GAMS Software GmbH

Requires

Python >=3.10

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

conopt-4.39.2-cp314-cp314-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.14Windows x86-64

conopt-4.39.2-cp314-cp314-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ x86-64

conopt-4.39.2-cp314-cp314-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ ARM64

conopt-4.39.2-cp314-cp314-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.14macOS 13.0+ x86-64

conopt-4.39.2-cp314-cp314-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.14macOS 13.0+ ARM64

conopt-4.39.2-cp313-cp313-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.13Windows x86-64

conopt-4.39.2-cp313-cp313-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

conopt-4.39.2-cp313-cp313-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ ARM64

conopt-4.39.2-cp313-cp313-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.13macOS 13.0+ x86-64

conopt-4.39.2-cp313-cp313-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.13macOS 13.0+ ARM64

conopt-4.39.2-cp312-cp312-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.12Windows x86-64

conopt-4.39.2-cp312-cp312-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

conopt-4.39.2-cp312-cp312-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ ARM64

conopt-4.39.2-cp312-cp312-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.12macOS 13.0+ x86-64

conopt-4.39.2-cp312-cp312-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.12macOS 13.0+ ARM64

conopt-4.39.2-cp311-cp311-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.11Windows x86-64

conopt-4.39.2-cp311-cp311-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

conopt-4.39.2-cp311-cp311-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ ARM64

conopt-4.39.2-cp311-cp311-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.11macOS 13.0+ x86-64

conopt-4.39.2-cp311-cp311-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.11macOS 13.0+ ARM64

conopt-4.39.2-cp310-cp310-win_amd64.whl (11.5 MB view details)

Uploaded CPython 3.10Windows x86-64

conopt-4.39.2-cp310-cp310-manylinux_2_28_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

conopt-4.39.2-cp310-cp310-manylinux_2_28_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ ARM64

conopt-4.39.2-cp310-cp310-macosx_13_0_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.10macOS 13.0+ x86-64

conopt-4.39.2-cp310-cp310-macosx_13_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.10macOS 13.0+ ARM64

File details

Details for the file conopt-4.39.2-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.2-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.14.7

File hashes

Hashes for conopt-4.39.2-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 e0903a39cc6d9a3d22e23eac7addd54991c1185939cc6b38e610d036f73b58a8
MD5 b219d324ad08159c9b5f158e23946864
BLAKE2b-256 c9f5d6e27409770f17696770007b908a78a842698dc4423382cb1870e6ee87af

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 dae29c74705d77682c5cc4634546677e8725055ba3d7a84342d8a44e183b48c0
MD5 cd2660645f5b547d27ffa26104798004
BLAKE2b-256 40be7e70fb93f01fe97b4face49b95ed15f25cc18a1aaa29ab65f820a03a52a9

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp314-cp314-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp314-cp314-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a90ff0364c9e7202641b1fb3bdfa2aa22638b7a7adc0f6812b77b4068f2f5f62
MD5 3fe2f27d87f64e56ab185af11b0f6ad3
BLAKE2b-256 fbe2b9a27f844f496a04c3019c054939ba01a63e3564081559dbae898ae6930e

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp314-cp314-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp314-cp314-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 cd10048962cd87b9fe8fa849659ff46fa48256229404b88865702c575ced4b32
MD5 b1f4ba5571a3999d235705cd2a7d2fa6
BLAKE2b-256 7530e685bfbb8b24e7c531a89c37e371c9e860507ff8d7a8c82595fb8e17b548

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp314-cp314-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp314-cp314-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 03281405942ad3fc5b21f018329f03ed98e76e4a9f8a90726240911a43accb18
MD5 7a4a30f770cc52484d94202839a8fbac
BLAKE2b-256 f8099a21e4253979085f697c1e0e0ce5873058ebc6d34e03ca4f575ce037e63e

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.2-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.14.7

File hashes

Hashes for conopt-4.39.2-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 bd70c6483316f3dc79e17c58b64876b9f11342052887a9860b1d521881d5fc5a
MD5 2b4bd1f7a76c35d773ad27ed1f8657f9
BLAKE2b-256 a5b5753ef4924a59ca91fb69e3c6c6261241b83da4df49eb68928243c8080754

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 987e86a25c5b95d95a1d25626f32c94fc7c9bb37afe871ca82e9305ff360ac06
MD5 68ce2a05411d7c083a5373ec3a86fa69
BLAKE2b-256 3f53c62b769d0cbbbd900d32ac96e00b9d9199c1aca918b9b2f3e8c92585704e

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp313-cp313-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp313-cp313-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 6b3ca38f0a5e242f135315bbcf6fa915c474d4a080b5098a17979a18913cc4fb
MD5 2ef623f75c96de526dbcb9d2db9e0c2d
BLAKE2b-256 b8029587fceda8378603a427bc9eb3ec8ebceb87936b527526122fe581969920

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp313-cp313-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp313-cp313-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 d3dc614df7ad742be2aa69eaf59a8bdd9d8308dde7dc74d5297def186453f4d0
MD5 fd64fea2c2534feda5adebcf28457010
BLAKE2b-256 3fc32ba1a86e808a5ec918e9ddc616365561e1eb61b1b5f9692f1e3255ba1402

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp313-cp313-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp313-cp313-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 24eb2ce6c6bba54cff6cbf3ca3320af4ac3198ddcaf0298920f9e84404b67c3f
MD5 a00c215d9cce489118e7764362782912
BLAKE2b-256 dbc4b682d8424b6e54f74ae975995a79b44ef122476d491d59dac3520db92925

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.14.7

File hashes

Hashes for conopt-4.39.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 cb5ab8672dd74262b9d01a6d81e03e90c787fb5846bd6df2956b4a42e16aa70b
MD5 1b1a8597c67e9a169be3fb00ee6c8495
BLAKE2b-256 3de6de7445119b1fbce651fe9066de492286ae2e9a5a07fd5c2a27774c0a03b1

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 5662cc5e0a1789e89988ce7463cd9f1d5bfa8069663c4babf01c32e0dfb02dd2
MD5 4cf64b6be874aad9995af6a9e50505fe
BLAKE2b-256 e44aa5f8a0d715d9bd5a6bd3c1a12415392b41b574abb0212c8cea0dc08948de

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 e038fa9f7f400dff2f6fc16bf4e32da3db4c4f05133d3ddfc6167307c6b6155c
MD5 352d762de6930a387af46b89af769847
BLAKE2b-256 cb616ac2c7eb3958fb48c98987bb9ce0ea000f49215aaa1f5b32b50ccc68fc7e

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp312-cp312-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp312-cp312-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 2dc85299acd572f2c7725610f9bb579b8e2102f33f63a4ab065fa6a7f3ad58ee
MD5 16f55668ec6f85f21451d78bee7e5779
BLAKE2b-256 9456cf4e97258ff5a1b522bb32740ffee38bd20586fe8be5de8116ba8fc62eba

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp312-cp312-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp312-cp312-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 74ba69e50e44463e59d095dd24ea9aeeca041d86547110dd7a7217050ff4b602
MD5 2e9db0fd21049a1a40d7fea35306d3ed
BLAKE2b-256 bfea3af7d284a81ae2ffba11fe8fc732f0e2cdb8f6a69e0fd564ef7c73f3c549

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.14.7

File hashes

Hashes for conopt-4.39.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 41d9645ad644af2ce6db2d6e821e44cb4b5eed582e8461db9db45bcded306628
MD5 5fdb4a8ca2d9687f82e38f7ffc021be5
BLAKE2b-256 bddc70be385011279a281f6af18555263c43509fa2c790e1285889a7c10ac17b

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e0d3bded3b42b00724e16d38ba18bae962835b67c4ee8a571c679b39021add85
MD5 d09523f9085ef49c59c15af08f88307e
BLAKE2b-256 f151fffd74e8a5adc2d558f6df1399d10308347ad9dac239d6685e38fb082d8c

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 693253c9d7ba80097a47de303bd1125b7177b19531d26ae24956f27adb334c88
MD5 f91fd2ea76c500aa3917a6fbb10c889f
BLAKE2b-256 7192baf0cae98a9ed829cf33591a79cbfd7d745a2586429fd901a7bb32e6f0ab

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp311-cp311-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp311-cp311-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 85f58d333a31d174e9971ab21e6a646ee72c58766d6ea06d9e802b82601e8c6b
MD5 4bc8f3680759082defe6467517afbf63
BLAKE2b-256 1c3fdd02901405d3b9da885a0710e034f0effc2f8a836bfb42bc7421a77ba26c

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp311-cp311-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp311-cp311-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 b313a5c80e7cc6ba0e6e4f28c85589684479803f94e05a4b615dbe24cb1c120d
MD5 2fc009f4eed0b7cef7c4f18e032c88c7
BLAKE2b-256 2a2ee28a2530b6384d2c6e184ca21ae8020e7b142d38a75184d5c6e3c0da3400

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: conopt-4.39.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 11.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.14.7

File hashes

Hashes for conopt-4.39.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b77d96989c956123d1e1ec899918fb25565e5d1c8c0bcc2627465930d692cd3b
MD5 c36e4df2dc4da00c1b82f1d2cb738962
BLAKE2b-256 3e0bee57d0d6c3fff98d16ab7caf820f882c04567ac893d38ab85cef02fcb299

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 0a7ea5c4fd6087275769e362f6d1320ffaabd269c439e32c465f092a8bd5ff9e
MD5 2a2cc11914da0850121e7e0819ae66cb
BLAKE2b-256 4a5829a96d78c0fcb810e716ab6a46a89b80434a46e98c623c3e81d85a5ee979

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 55bd8c7d1f2fa2b2ade49b7c4361e9d0a080720555cd990143ca852d7d1d444b
MD5 d187d11d74d2efa65d49ca165e9d5b9c
BLAKE2b-256 d63c5d4a9bce71e6569ed9feba8298679e3f1b9c72d3f6520237efb66dfb90f5

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 f2389b54fc9c4b7350e7d4be70bcba9f203c467ac9968529737619ad330595ac
MD5 90920f8d76e88e58e257393fac5fb546
BLAKE2b-256 cd5d843acb1e0dac3f231d62d781d9c26f53e139e40d67fbe14c37b184865dcb

See more details on using hashes here.

File details

Details for the file conopt-4.39.2-cp310-cp310-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for conopt-4.39.2-cp310-cp310-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 7420415c58607016a8a482109a9e390f5694ab1d731d5d364963c790290e32d3
MD5 ce1048a5c1cc0a0fa3637b389f65052c
BLAKE2b-256 71c98fb5b9110807217d92cc54d0c679b406200c7c003425c743c66ab6b74fc4

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

4.39.2 This release

25 files

4.39.1

25 files

4.39.0

25 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page